1 code implementation • 20 Feb 2024 • Binglin Zhou, Linhao Zhong, Wentao Chen
Dataset distillation, a pragmatic approach in machine learning, aims to create a smaller synthetic dataset from a larger existing dataset.
no code implementations • 2 Feb 2024 • Wentao Chen, Jiwei Li, Xichen Xu, Hui Huang, Siyu Yuan, Miao Zhang, Tianming Xu, Jie Luo, Weimin Zhou
In this study, we investigated unsupervised learning methods for unpaired MRI to PET translation for generating pseudo normal FDG PET for epileptic focus localization.
no code implementations • 2 Feb 2024 • Xichen Xu, Wentao Chen, Weimin Zhou
Ideally, computation of task-based measures of IQ needs to account for all sources of randomness in the measurement data, including the variability in the ensemble of objects to be imaged.
no code implementations • 2 Feb 2024 • Wentao Chen, Xichen Xu, Jie Luo, Weimin Zhou
Recently, an augmented GAN architecture named AmbientGAN has been proposed that can be trained on noisy measurement data to synthesize high-quality clean medical images.
no code implementations • 10 Jan 2024 • Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang
In this survey, we comprehensively review the existing evaluation protocols of multimodal reasoning, categorize and illustrate the frontiers of MLLMs, introduce recent trends in applications of MLLMs on reasoning-intensive tasks, and finally discuss current practices and future directions.
no code implementations • 8 Jan 2024 • Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang
To enhance the efficiency of such a process, we propose a tree search-based bandit learning method, which expands a tree starting from the initial sequence with the guidance of a bandit machine learning model.
no code implementations • 20 Nov 2023 • Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang
To mitigate this issue, we manually curate a benchmark dataset specifically designed for MLLMs, with a focus on complex reasoning tasks.
1 code implementation • CVPR 2023 • Wentao Chen, Chenyang Si, Zhang Zhang, Liang Wang, Zilei Wang, Tieniu Tan
Instead of the naive exploitation of semantic information for remedying classifiers, we explore leveraging semantic information as prompts to tune the visual feature extraction network adaptively.
1 code implementation • 1 Mar 2023 • Dandan Shan, Zihan Li, Wentao Chen, Qingde Li, Jie Tian, Qingqi Hong
Segmentation of COVID-19 lesions can assist physicians in better diagnosis and treatment of COVID-19.
Ranked #1 on Medical Image Segmentation on MosMedData
1 code implementation • 16 Jul 2022 • Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
Different from previous cross-domain FSL work (CD-FSL) that considers the domain shift between base and novel classes, the new problem, termed cross-domain cross-set FSL (CDSC-FSL), requires few-shot learners not only to adapt to the new domain, but also to be consistent between different domains within each novel class.
1 code implementation • 19 May 2022 • Zihan Li, Wentao Chen, Zhiqing Wei, Xingqi Luo, Bing Su
In addition, to cope with new attacks in real-world deployment, we propose an Active Adaption Resampling (AAR) method, which can better discover the distribution of unseen sample data and adapt the parameters of encoder.
no code implementations • 4 Nov 2021 • Daofei Li, Ao Liu, Hao Pan, Wentao Chen
By investigating the causes of 4, 300 video clips of traffic accidents, we find that the limited dynamic visual field of drivers is one leading factor in inter-vehicle interaction accidents, especially in those involving trucks.
no code implementations • 25 May 2021 • Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan
Few-shot learning is a challenging task since only few instances are given for recognizing an unseen class.
no code implementations • 25 Apr 2021 • Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi, Meiping Huang, Xiaowe Xu
Deep neural networks (DNNs) have demonstrated their great potential in recent years, exceeding the per-formance of human experts in a wide range of applications.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 10 Jun 2019 • Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
Furthermore, the inter-class classification and the intra-class transduction are extremely flexible to be repeated several times to progressively purify the clusters.
no code implementations • CVPR 2019 • Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
Nevertheless, how to effectively extract discriminative spatial and temporal features is still a challenging problem.
Ranked #51 on Skeleton Based Action Recognition on NTU RGB+D